Job Description Description: A global biopharmaceutical company is seeking a strong Senior Full-Stack Engineer to support their enterprise analytics applications as they evolve from primarily Power BI dashboards to web-based, React-driven analytics experiences backed by Python/FastAPI services. They are also introducing AI/agentic workflows to accelerate delivery (e.g., generating UI/report code), and need this experienced full-stack engineer to lead architecture, build the first wave of apps, and mentor a data-first team in modern web development. This is a contract until the end of 2026 with the possibility of extension and can sit remotely anywhere in LATAM and will work EST standard working hours. What youll do · Design and build interactive analytics/reporting experiences in React (TypeScript) that replace or extend specific Power BI capabilities. · Build and evolve a FastAPI backend (auth, APIs, caching, background jobs as needed) that serves analytics use cases cleanly and securely. · Define and implement application architecture: component patterns, state management, API contracts, error handling, performance strategy, testing strategy, and release practices. · Own the path to production readiness: scalability, observability (logging/metrics/tracing), reliability, and security. · Lead Azure deployments end-to-end (containers/app hosting, networking considerations, secrets/config, CI/CD). · Partner with data engineers working in Fabric to align data access patterns, performance, and governance. · Mentor and enable the team: pairing, workshops, code reviews, lightweight standardsso we can confidently maintain and extend the React layer. · Establish pragmatic ways to use AI/agentic tools in engineering (guardrails, code review standards, evaluation, human-in-the-loop workflows). We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements · Significant experience building production web applications with React + TypeScript (architecture, patterns, performance). · Strong backend engineering skills (ideally FastAPI, or equivalent modern Python API frameworks with ability to ramp quickly). · Proven experience deploying and operating services on Azure (e.g., App Service, Container Apps, etc). · Strong system design skills: scaling, caching, API design, security, and operational concerns. · Comfortable teaching/mentoring (pair programming, code reviews, setting standards without heavy bureaucracy). Experience working with CI/CD and modern Git workflows. Ability to support Power BI and Data Engineering tasks · Familiarity with Microsoft Fabric, data engineering workflows, and analytics patterns. · Experience with data visualization in React (e.g., Plotly, ECharts, D3, AG Grid, etc.) and building reusable chart components. · Knowledge of Power BI and common dashboard/reporting semantics (filters, drill-through, row-level security concepts). · Strong DevOps background. Experience with LLM/agentic development workflows (tool calling, evals, safe codegen pipelines)

The role requires significant experience building production web applications with React and TypeScript, focusing on architecture, patterns, and performance. Strong backend engineering skills are needed, ideally with FastAPI or equivalent modern Python API frameworks. Proven experience deploying and operating services on Azure is essential, along with strong system design skills covering scaling, caching, API design, security, and operational concerns. The candidate should be comfortable with teaching and mentoring, including pair programming and code reviews. Experience with CI/CD and modern Git workflows is also required. Familiarity with Microsoft Fabric, data engineering workflows, and analytics patterns is beneficial. Experience with LLM/agentic development workflows, including tool calling, evals, and safe codegen pipelines, is also a requirement.